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Matrix product operators allow efficient descriptions (or realizations) of states on a 1D lattice.
On nuclear C ∗ C^{*} -algebras
Christopher Lance · 1973
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Valence bond ground states in isotropic quantum antiferromagnets
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A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition
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Matrix Perturbation Theory
Gilbert W. Stewart and Ji-guang Sun · 1990
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Finitely correlated states on quantum spin chains
Mark Fannes, Bruno Nachtergaele, and Reinhard F. Werner · 1992
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Introduction to Operator Space Theory
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Matrix product density operators: Simulation of finite-temperature and dissipative systems
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Alex Monràs, Almut Beige, and Karoline Wiesner · 2011
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Brendan Juba · 2012
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Operator System Quotients of Matrix Algebras and Their Tensor Products
Douglas Farenick and Vern I. Paulsen · 2012
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A scalable maximum likelihood method for quantum state tomography
T Baumgratz, A Nüßeler, M Cramer, and M B Plenio · 2013
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Purifications of multipartite states: limitations and constructive methods
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Spectral learning of weighted automata
Borja Balle, Xavier Carreras, Franco M. Luque, and Ariadna Quattoni · 2014
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Tomotaka Kuwahara, Álvaro M. Alhambra, and Anurag Anshu · 2021
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Quantum Tensor Networks, Stochastic Processes, and Weighted Automata
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Entangleability of cones
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Sample-efficient learning of interacting quantum systems
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The quantum Wasserstein distance of order 1
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Quantum learning of classical stochastic processes: The completely positive realization problem
Alex Monràs and Andreas Winter · 2016
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Sweeping words and the length of a generic vector subspace of mn(f)
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